Li, Qimai

6 publications

IJCAI 2023 Boosting Decision-Based Black-Box Adversarial Attack with Gradient Priors Han Liu, Xingshuo Huang, Xiaotong Zhang, Qimai Li, Fenglong Ma, Wei Wang, Hongyang Chen, Hong Yu, Xianchao Zhang

NeurIPS 2023 Neural MMO 2.0: A Massively Multi-Task Addition to Massively Multi-Agent Learning Joseph Suarez, David Bloomin, Kyoung Whan Choe, Hao Xiang Li, Ryan Sullivan, Nishaanth Kanna, Daniel Scott, Rose Shuman, Herbie Bradley, Louis Castricato, Phillip Isola, Chenghui Yu, Yuhao Jiang, Qimai Li, Jiaxin Chen, Xiaolong Zhu

ICLR 2023 Recon: Reducing Conflicting Gradients from the Root for Multi-Task Learning Guangyuan Shi, Qimai Li, Wenlong Zhang, Jiaxin Chen, Xiao-Ming Wu

NeurIPS 2020 A Closer Look at the Training Strategy for Modern Meta-Learning Jiaxin Chen, Xiao-Ming Wu, Yanke Li, Qimai Li, Li-Ming Zhan, Fu-lai Chung

IJCAI 2019 Attributed Graph Clustering via Adaptive Graph Convolution Xiaotong Zhang, Han Liu, Qimai Li, Xiao-Ming Wu

AAAI 2018 Deeper Insights into Graph Convolutional Networks for Semi-Supervised Learning Qimai Li, Zhichao Han, Xiao-Ming Wu